Bachelor of Technology (B.Tech.) in Artificial Intelligence & Data Science
A UGC-approved 4-year engineering degree in AI & Data Science, open after 12th (PCM) or via lateral entry from a diploma or B.Sc.
The Bachelor of Technology (B.Tech.) in Artificial Intelligence & Data Science is a four-year degree in technology offered by Vikrant University, Gwalior. It is available to students who have completed 10+2 in which they have studied Physics, Chemistry, and Mathematics (PCM), and there is an option of lateral entry into the second year for diploma holders of any branch of engineering and B.Sc. graduates who have studied Mathematics in 10+2.
Key Takeaways
Program Overview
Introduction & Objectives: This degree program of 4 years duration aims at providing complete knowledge in engineering field by merging Artificial intelligence and data science disciplines. The core of curriculum is combined with data engineering, big data analytics, statistical modeling, data visualization and predictive analytics along with core knowledge of AI and machine learning as well. In the long run, the aim of this degree program is to prepare students for entering the industry and solve engineering problems related to AI systems and data pipelines.
Industry Relevance: More and more organizations generate large amount of data and introduce processes requiring engineers to possess thorough understanding of technologies connected to AI as well as processes of data engineering and data management.
Key Highlights: 4-year, UGC-accredited B.Tech program - Eligible students may enter after finishing the 12th grade (with subjects including mathematics, physics, and chemistry), or can enter the 2nd year of the program if they have a diploma or B.Sc degree that meets the qualifying requirements - Includes extensive lessons on data engineering, big data analytics, artificial intelligence, and machine learning - Provides direct pathway to careers as data scientists, data engineers, and business intelligence analysts - Focuses more on data engineering and data analytics than the university’s B.Tech. program in AI & ML - The program has national recognition because of UGC accreditation
Why Choose This Program
Unique Value Propositions Program couples AI/ML with a solid data engineering and analytics background, which differentiates it from the university's wider model-oriented B.Tech in AI & ML program. - The programme offers a dual entry option, providing direct PCM-based admission after the 12th grade or lateral entry into the 2nd year for diploma holders and B.Sc. graduates.
Industry-Aligned Curriculum . The subjects taught cover data engineering, big data analytics, statistical modelling, and predictive analytics as well as basics of AI and ML, thus: being full-fledged engineering courses for data-intensive professions
Project-Based Learning Students learn by means of real-life data pipeline projects, predictive modelling tasks, the final year project and practical training, not only studying theory in lecture rooms.
Curriculum & Specializations
Core Subjects (Year-wise). Syllabus Download: Download the full year-wise syllabus PDF from the
Graduate programmesYear 1
Engineering Mathematics, Programming Fundamentals (Python/C), Engineering Physics/Chemistry, Basic Electrical & Electronics Engineering, Engineering Graphics
Year 2
Data Structures, Statistics & Probability, Database Management Systems, Computer Organization & Architecture, Discrete Mathematics
Year 3
Machine Learning, Big Data Analytics, Data Engineering & Pipelines, Data Visualization, Software Engineering
Year 4
Deep Learning, Predictive Analytics & Business Intelligence, Data Mining, Elective Specializations, Major Project & Industrial Training
Facilities & Infrastructure
Labs & Equipment
Vikrant University offers technologically advanced computer laboratories furnished with advanced computers and high-speed Internet to carry out programming, data processing and artificial intelligence learning.
Software & Tools
The students have an opportunity to master the technologies commonly used in the field, such as Python, R, TensorFlow, PyTorch, Jupyter Notebook, Google Colab, Tableau and Power BI, which allows students to acquire data processing, analytical modeling and artificial intelligence skills.
Library & Research Centers
Vikrant University’s library gives students access to the necessary learning and academic resources for the coursework, technical reference, self-study and research. Furthermore, it facilitates interdisciplinary studies and innovation through the AI Cell aimed at knowledge-sharing and skill development.
Faculty & Mentorship
Experienced Faculty: The School of Engineering and Technology at Vikrant University gives importance to the highly-qualified faculty members, practical teaching, research and project-learning approach. The students are guided properly in the learning of artificial intelligence, data science, analytical techniques and computing solutions.
Industry Exposure: Vikrant University promotes industry-oriented learning programs through seminars, workshops, practical projects and interaction with the industry. Students are able to connect the theory learnt in the classroom with its practical aspects in data science, machine learning, intelligent systems and data-driven decision-making.
Research Background: Vikrant University's AI Cell is a cross-disciplinary place for research, innovation and skill development in artificial intelligence and related technologies. The students are motivated towards the technology-oriented problem-solving, cross-disciplinary collaboration and workshops related to AI and data science.
Career Opportunities
Data Scientist
5.0 – 10.0 LPA
Data Engineer
4.8 – 9.5 LPA
AI/ML Engineer
5.0 – 10.0 LPA
Business Intelligence Analyst
4.2 – 8.0 LPA
Big Data Engineer
4.8 – 9.5 LPA
Data Analyst
4.0 – 7.5 LPA
Analytics Consultant
4.5 – 8.5 LPA
Junior Data Architect
5.0 – 9.5 LPA
Industry Sectors Hiring
IT and software companies; banking and financial services; analytics companies; e-commerce companies; consulting firms; healthcare analytics companies; telecom companies; product-based technology companies; market research firms.
Higher Studies Options
M.Tech. in AI/data science or special fields, MS abroad, MBA in business analytics; competitive exams like GATE for postgraduate admission.
Placements & Industry Tie-ups
Placement Statistics
Assists students in career guidance, training in technical subjects, and aptitude preparation for seeking jobs in the industry through interviews, internships, and placement programs. According to placement statistics of the university, the placement process involved 100+ employers and 500+ placement offers during past five years. View Placement Statistics
Top Recruiters
A Bachelor of Technology graduate from Artificial Intelligence & Data Science can work in the area of software development, data analytics, artificial intelligence applications in various professional fields, machine learning, business development, and technology consulting. The university collaborates with many of the best companies that are willing to help it in placing its graduates in various lucrative job roles, including TCS, Wipro, Sopra Steria, Accenture, etc. View our recruiters
Internships
The university provides students with opportunities to work as interns or participate in different projects and training programs at reputed companies. The experience acquired by the students not only helps them apply their knowledge but also helps them learn new skills, which are valuable for further working in the field of algorithm-oriented processing of data.
Admission Process
Eligibility Criteria — Direct Entry (Year 1): - Direct Entry (1st Year): The applicant should have passed the 10+2 exam from any recognized board with Physics and Mathematics as the compulsory subjects along with either Chemistry, or Biotechnology, or Biology, or any other eligible technical vocational subject as per the admission rules of the university. The applicant should fulfill the prescribed eligibility criteria for the programme.
Lateral Entry (2nd Year): An applicant can be considered for admission in the second year, if he or she has completed a specific diploma in Engineering and Technology or any other suitable qualification based on the university’s rules related to lateral entry
Lateral Entry (into Year 2): - An applicant can be considered for admission in the second year, if he or she has completed a specific diploma in Engineering and Technology or any other suitable qualification based on the university’s rules related to lateral entry. OR - Passed a B.Sc. degree from a UGC-recognized university with at least 45% marks (40% for reserved category), and passed 10+2 with Mathematics as a subject
Entrance Exams — Admission is based on the the merit-based selection process of the university as per Vikrant University’s rules for admissions.
How to Apply
- Fill the online application form on the university admissions page, selecting Direct Entry (Year 1) or Lateral Entry (Year 2) as applicable
- Upload required documents (12th marksheet for direct entry, or diploma/B.Sc. marksheets and certificates for lateral entry, plus ID proof and photograph)
- Pay the application fee
- Receive confirmation and counselling call
- Complete document verification and fee payment
- Secure admission and receive orientation details
Student Achievements
Projects & Hackathons: Vikrant University promotes innovations, cross disciplinary collaboration and practical problem solving through its AI Cell and technology-based initiatives. Students can work on projects involving predictive analytics, machine learning, intelligent automation, visualising data and development of AI applications. The university organizes events like INDUX 5.0 – series, which is an international hackathon in which the participants solve technology-based real world problems
Awards & Competitions: Students are advised to participate in technical contests, computer programming contests, innovation competitions, seminars and other AI-related events. They enhance their analytical thinking, programming, teamwork and presentation skills due to their participation in these events which are organized with the help of the AI Cell at Vikrant University.
FAQs
What is the eligibility criteria of B.Tech in Artificial Intelligence and Data Science?
To gain direct admission, one must pass class 12 in Science stream (Physics, Chemistry and Maths) with minimum aggregate percentage of 45% (40% in case of reserved category candidates). Diploma holders in any specialization or B.Sc graduates having studied Mathematics in class 12 with minimum percentage are eligible for lateral entry.
Can I take admission in this program after class 12 with Physics, Chemistry and Mathematics?
Yes. After your class 12th with Science stream and required minimum marks, you can get direct admission in Vikrant University Gwalior .
Is it possible to do lateral entry to B.Tech in Artificial Intelligence and Data Science after diploma?
Yes. Diploma holders in any branch of engineering, having scored a minimum of 45% under normal category (40% in case of reserved category) in a 3-year diploma program, are eligible for lateral entry admission to the second year.
Can I join B.Tech AI DS with a B.Sc degree?
Yes! A B.Sc. degree from a recognized university along with at least 45% (40% for reserved categories) is necessary to fulfil the eligibility criteria provided the student has learned Mathematics in 10+2 standards. This pathway is considered a lateral entry into the 2nd year.
Is B.Tech AI DS course approved by UGC?
Yes. The course is certified by UGC
What kind of jobs can I do after graduation B. Tech. AI-DS?
The graduates can get jobs as Data Scientists, Data Engineers, AI/ML Engineers, Business Intelligence Analysts, etc. in a number of IT companies, banks and analytics firms.
What is the salary of someone with a B.Tech in AI & Data Science in India?
The salaries for entry-level jobs are usually around ₹4.0–10.0 LPA depending on the specific job, the company, as well as the employee’s location—data science and artificial intelligence careers rank among the highest-paid entry-level jobs in tech.
What is the difference between B.Tech AI and Data Science and B.Tech AI and ML?
The B.Tech AI and Machine Learning program focuses more on the machine learning models, deep learning, and the actual algorithms of AI technology, while the B.Tech AI and Data Science course emphasizes equal importance on the subjects of data engineering, big data analytics and business intelligence, which are equally important along with AI. Both degrees take four years and have similar eligibility criteria as per the University.
What is the duration of B.Tech AI Data Science?
The duration of the B.Tech AI Data Science program is 4 years for students with a direct entry. Lateral students may enter the course in the second year of the program and finish in 3 years.
Can I pursue further studies after this B.Tech AI Data Science?
Yes, there are many options for the graduates like doing the M.Tech course in AI or any other related field, doing an MBA in Business Analytics, studying abroad for a Master’s or doing GATE.